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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Land Use Trade-offs in Decarbonization of Electricity Generation in the American West

Authors: Patankar, Neha; Basset, Xilli; Schivley, Greg; Leslie, Emily; Jenkins, Jesse;

Land Use Trade-offs in Decarbonization of Electricity Generation in the American West

Abstract

This Zenodo archive includes the code and data used to produce the publication Patankar et al. (2022): Land Use Trade-offs in Decarbonization of Electricity Generation in the American West. This analysis requires five types of scripts/modeling efforts that take in three types of inputs, as described below. The code for the GenX model is not included here as it is available at https://github.com/GenXProject/GenX with further documentation available at https://genxproject.github.io/GenX/dev/. **Inputs** 1. Solar and wind candidate project area (CPA) 2. Renewable resource profiles 3. Real and routing cost surface data **Scripts and Models** 1. PowerGenome - Power system data compilation software 2. GenX Power system model along with the Modeling to Generate Alternatives (MGA) algorithm 3. Transmission network building 4. Downscaling for new solar and wind capacity 5. Land use analysis presented in the paper For information on the description of the datasets, scripts and modeling efforts, see the README.md file.

Keywords

Power System Model, Land Use Tradeoffs, American West

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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